Researchers have not yet convincingly shown that greater model complexity is necessary for scaling; demonstrating scaling behavior across examples and samples can build confidence in the models.

“And so people haven't really shown that you need this complexity to actually sort of really scale up. But if you go really, if you can really demonstrate at scale, like across examples and, and samples that you have this sort of scaling behavior, then I think you have this buy-in into these models.”